How do recurrent neural networks (RNNs) function?
The question is about Neural Networks
Answer:
RNNs are designed for sequential data, such as time series and text. They maintain a memory of previous inputs through recurrent connections, enabling them to capture temporal dependencies. Variants like LSTMs and GRUs address issues like vanishing gradients, improving long-term sequence learning.
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